75 citations · 89 across the 6 of their papers we have counts for
3 papers · 1 filter
Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization
Dipti Jasrasaria, Edward O. Pyzer-Knapp
Bayesian optimization offers the possibility of optimizing black-box operations not accessible through traditional techniques. The success of Bayesian optimization methods such as…
Efficient and Scalable Batch Bayesian Optimization Using K-Means
Matthew Groves, Edward O. Pyzer-Knapp
We present K-Means Batch Bayesian Optimization (KMBBO), a novel batch sampling algorithm for Bayesian Optimization (BO). KMBBO uses unsupervised learning to efficiently estimate pe…
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp +1
Chemical space is so large that brute force searches for new interesting molecules are infeasible. High-throughput virtual screening via computer cluster simulations can speed up t…